Evidence map›Paper›PMID 39819280›Full record

ArticleBMC cardiovascular disorders2025

The long-term effects of cardiometabolic risk factors on mortality and life expectancy: evidence from a health check-up cohort study.

Ping-Chen Chung, Tsuey-Hwa Hu, Chih-Hua Chiao, Jing-Shiang Hwang, Ta-Chien Chan

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ping-Chen ChungDepartment of Dentistry, Puzi Hospital, Ministry of Health and Welfare, Chiayi, Taiwan.
Tsuey-Hwa HuInstitute of Statistical Science, Academia Sinica, Nankang, Taipei, Taiwan.
Chih-Hua ChiaoDepartment of Financial Engineering and Actuarial Mathematics, Soochow University, Taipei, Taiwan.
Jing-Shiang HwangInstitute of Statistical Science, Academia Sinica, Nankang, Taipei, Taiwan.
Ta-Chien ChanResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei City, Taiwan. tachien@sinica.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCardiometabolic risk factors significantly contribute to disease burden. This study explored the effects of hypertension (HTN), diabetes mellitus (DM), and hyperlipidemia (HLP) on mortality. It stratified findings by age group and comorbidity severity using the Charlson Comorbidity Index (CCI) score. Additionally, it assessed the compounded effects of comorbid conditions to estimate life expectancy (LE) and years of life lost (YLL) in individuals with various cardiometabolic risk factor combinations.

methodsUsing data from the MJ Health Check-up Database (2002-2017), linked with the National Health Insurance Research Database (2000-2017) and the Death Registry (2002-2019), this study employed Cox proportional hazards models to determine mortality risk associated with various cardiometabolic risk factors. Adjusted Kaplan-Meier curves were constructed to evaluate survival rates across different risk factors and CCI scores. Survival rates were extrapolated to estimate confounder-adjusted LE and YLL for age-comorbidity combinations.

resultsAmong the three age groups (20-39, 40-59, 60-79), HLP was the most common single risk factor, followed by HTN. In participants with dual risk factors, HTN and HLP were the most frequent pair, with diabetes and HLP second. An increased number of cardiometabolic risk factors elevated mortality risk, particularly in the 20-39 age group. LE, adjusted for confounders, declined with age, higher CCI scores, and more risk factors. YLL decreased with age but increased with higher CCI scores and more risk factors.

conclusionsPromoting health awareness, early disease detection, and timely medical access can reduce cardiometabolic risk factors and associated comorbidities, thereby alleviating disease burden.

Indexed as

Cardiometabolic Risk FactorsDiabetes MellitusHyperlipidemiasHypertensionLife ExpectancyAdultAgedAge FactorsComorbidityDatabases, FactualFemaleHumansMaleMiddle AgedPrognosisRegistriesCardiometabolic risk factorsCharlson Comorbidity IndexDisease burdenInverse Probability of Treatment WeightingLife expectancyMortalityYears of life lost

Identifiers

PMID39819280
PMCPMC11740344

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.